Identification of quantitative trait loci associated with resistance to viral haemorrhagic septicaemia (VHS) in turbot (Scophthalmus maximus) A comparison between bacterium, parasite and virus diseases

• Published in: Marine Biotechnology
• Main Authors: Rodríguez-Ramilo, S. T., De La Herrán, R., Ruiz-Rejón, C., Hermida, M., Fernández, C., Pereiro, P., Figueras, A., Bouza, C., Toro, M. A., Martínez, P., Fernández, J.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Springer 2014
• Subjects: QTL; Turbot; Viral haemorrhagic septicaemia; Linear regression; Maximum likelihood; Scophthalmus maximus
• Online Access: https://hdl.handle.net/20.500.12792/3846; http://hdl.handle.net/10261/293242; https://doi.org/10.1007/s10126-013-9544-x

One of the main objectives of genetic breeding programs in turbot industry is to reduce disease-related mortality. In the present study, a genome scan to detect quantitative trait loci (QTL) affecting resistance and survival to viral haemorrhagic septicaemia (VHS) was carried out. Three full-sib families with approximately 90 individuals each were genotyped and evaluated by linear regression and maximum likelihood approaches. In addition, a comparison between QTL detected for resistance and survival time to other important bacterial and parasite diseases affecting turbot (furunculosis and scuticociliatosis) was also carried out. Finally, the relationship between QTL affecting resistance/survival time to the virus and growth-related QTL was also evaluated. Several genomic regions controlling resistance and survival time to VHS were detected. Also significant associations between the evaluated traits and genotypes at particular markers were identified, explaining up to 14 % of the phenotypic variance. Several genomic regions controlling general and specific resistance to different diseases in turbot were detected. A preliminary gene mining approach identified candidate genes related to general or specific immunity. This information will be valuable to develop marker-assisted selection programs and to discover candidate genes related to disease resistance to improve turbot production. © 2013 Springer Science+Business Media New York.